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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-5.1 CodexOpenAIRemove
  2. Hy4 previewTencentRemove
  3. GPT-6 AstraOpenAIRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

gpt-5.1-codex vs hy4-preview vs gpt-6-astra vs muse-spark-1.3
AttributeGPT-5.1 Codexgpt-5.1-codexHy4 previewhy4-previewGPT-6 Astragpt-6-astraMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.375 / 1M$0.834 / 1M$10.00 / 1M$1.25 / 1M
Output$3.00 / 1M$2.50 / 1M$50.00 / 1M$4.25 / 1M
Cache Write (5m)$0.375 / 1M$0.834 / 1M$10.00 / 1M$1.25 / 1M
Cache Write (1h)$0.375 / 1M$0.834 / 1M$10.00 / 1M$1.25 / 1M
Cache Read$0.375 / 1M$0.834 / 1M$10.00 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context400K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAITencentOpenAIMeta
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-5.1 Codex is a coding-focused version of GPT-5.1 designed for both interactive development and long autonomous engineering tasks. It can build projects, add features, debug, refactor, and review code with higher steerability and cleaner outputs than GPT-5.1. It integrates with developer tools (CLI, IDEs, GitHub, cloud), supports adjustable reasoning effort, handles images/screenshots for UI work, and uses tools for search and environment setup — making it purpose-built for agentic coding workflows.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.